Multivariate Data Analysis Techniques to Detect Early Warnings of Elderly Frailty
Alessandra Corbellini, Marco Riani, Andrea Donatini · 2008
In this paper we outline the results of a project intended to detect the most important leading indicators of elderly frailty in a health district of the province of Parma (Italy). Through the joint application of several multivariate data analysis techniques we found a series of factors which are predictive of loss of functional and cognitive ability and we set up a model which provides early warnings of cases of potential elderly frailty. This allows social and health care workers of the Local Health Unit (LHU) of Parma and local administrators to take preventive action, in order to avoid cases of worsening of the